基于窄带物联网通信技术的气象信息实时自动监测系统  

A Real-time Automatic Monitoring System for Meteorological Information Based on Narrowband Internet of Things Communication Technology

作　　者：任丽媛 孙玫玲 REN Liyuan;SUN Meiling(Tianjin Meteorological Service Center,Tianjin 300074,China)

机构地区：[1]天津市气象服务中心,天津300074

出　　处：《计算机测量与控制》2024年第11期95-100,共6页Computer Measurement &Control

基　　金：中国国家铁路集团有限公司科技研究开发计划(N2023T007)。

摘　　要：为了提升气象监测的实时性、准确性、覆盖范围,推动智慧气象的发展,提升灾害应对能力,设计基于窄带物联网通信技术的气象信息实时自动监测系统;构建气象信息实时自动监测系统框架,传感器获取气象监测信息,主控制器完成信息格式转换,依据通信协议实现气象监测信息的打包、上传给窄带物联网,通过无线接入方式将气象监测信息传输给数据应用层,有序加权平均算子处理接收到的气象监测信息,将融合后的数据作为Storm流框架下的在线序列极限学习机模型的输入,输出气象预测结果,通过界面层呈现气象监测结果;实验结果表明:该系统的气象监测信息采集曲线与实际曲线贴合度高;气象预测的RMSE、MAE分别为0.065、0.106;可实现异常气象监测信息预警;气象监测总功耗低、气象监测覆盖面广、稳定性高。In order to improve the real-time,accuracy,and coverage of meteorological monitoring,promote the development of smart meteorology,and enhance the response capabilities of disasters,a real-time automatic meteorological information monitoring system based on narrowband Internet of Things(IoT)communication technology is designed.Build the real-time automatic monitoring system framework for the meteorological information,sensors for the meteorological monitoring information,and the main controller for the information format conversion,package and upload the meteorological monitoring information to the narrowband IoT based on communication protocols,and transmit the meteorological monitoring information to the data application layer through wireless access.The received meteorological monitoring information is processed by an ordered weighted average operator,and the fused data is used as the input for the online sequence extreme learning machine model under the Storm flow framework,outputting meteorological prediction results,the meteorological monitoring results are presented through the interface layer.Experimental results show that the meteorological monitoring information collection curve of the system is great agreement with the actual curve;The root mean square error(RMSE)and mean absolute error(MAE)for the meteorological forecasting are 0.065 and 0.106,respectively;It can provide an abnormal meteorological monitoring information warning,and has the characteristics of low total power consumption,wide coverage,and high stability in meteorological monitoring.

关 键 词：窄带物联网 气象监测 NB-IoT模块 传感器 实时自动监测 极限学习机 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]